A hybrid feature selection algorithm combining information gain and grouping particle swarm optimization for cancer diagnosis.

Experiment discussion and analysis In experiments on feature selection process, with the increase of threshold, the filter stage of the IG-GPSO shows different trends on different datasets, such as an increasing trend on GLIOMA dataset and a decreasing trend on Prostate-GE dataset.

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With the increase of out-group search, except for GLIOMA dataset, the classification effect of SVM showed an increasing trend.

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